Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Evaluation of cryptocurrency price prediction using lstm and cnns models
NS Wen, LS Ling - JOIV: International Journal on Informatics Visualization, 2023 - joiv.org
Cryptocurrencies created by Nakamoto in 2009 have gained significant interest due to their
potential for high returns. However, the cryptocurrency market's unpredictability makes it …
potential for high returns. However, the cryptocurrency market's unpredictability makes it …
[HTML][HTML] Development of prediction model for information technology equipment procurement as the basis of knowledge for an Intelligent Decision Support System …
The high quality of Information Technology (IT) equipment undoubtedly contributes to the
seamless functioning of various industries in today's digital era. As organizations strive to …
seamless functioning of various industries in today's digital era. As organizations strive to …
Flowscope: Enhancing decision making by time series forecasting based on prediction optimization using hybridflow forecast framework
NS Boyeena, BS Kumar - arxiv preprint arxiv:2411.10716, 2024 - arxiv.org
Time series forecasting is crucial in several sectors, such as meteorology, retail, healthcare,
and finance. Accurately forecasting future trends and patterns is crucial for strategic planning …
and finance. Accurately forecasting future trends and patterns is crucial for strategic planning …
Modeling Temperature In The Ecuadorian Paramo Through Deep Learning
MJC Cabay, JA Piedra, RM Ayala - IEEE Journal of Selected …, 2025 - ieeexplore.ieee.org
This study focuses on predicting temperature using multivariate time series at two locations
in Tungurahua province, Ecuador: Mula Corral, situated in the high-altitude grassland …
in Tungurahua province, Ecuador: Mula Corral, situated in the high-altitude grassland …
[HTML][HTML] A Stock Prediction Method Based on Multidimensional and Multilevel Feature Dynamic Fusion
Y Dong, Y Hao - Electronics, 2024 - mdpi.com
Stock price prediction has long been a topic of interest in academia and the financial
industry. Numerous factors influence stock prices, such as a company's performance …
industry. Numerous factors influence stock prices, such as a company's performance …
A Traffic Model Integrating Long Short-Term Memory Networks with Multi-class Macroscopic Equations
Accurate traffic state estimation is crucial for effective transportation management and urban
planning. In recent years, deep learning techniques, particularly Long Short-Term Memory …
planning. In recent years, deep learning techniques, particularly Long Short-Term Memory …
Product Demand Forecast Analysis Using Predictive Models and Time Series Forecasting Algorithms on the Temu Marketplace Platform
In the rapidly evolving digital era, the ability to accurately forecast product demand is crucial
for marketplace platforms like Temu. Demand uncertainty can lead to issues such as …
for marketplace platforms like Temu. Demand uncertainty can lead to issues such as …
A Study of LSTM Optimisation for Forecasting Volatile Time Series Data
Forecasting time series data is an important subject in economics and business where the
Autoregressive Integrated Moving Average (ARIMA) has been extensively used despite its …
Autoregressive Integrated Moving Average (ARIMA) has been extensively used despite its …
A Framework for Enhanced Time Series Forecasting of Internet Traffic Based on AdaBoost-LSTM Integration
Q Zhang - 2024 5th International Conference on Computer …, 2024 - ieeexplore.ieee.org
Internet traffic is conceptualized as a form of time series data, making algorithms designed
for time series forecasting applicable for predicting dynamics of internet traffic. This study …
for time series forecasting applicable for predicting dynamics of internet traffic. This study …
Decision support in a volatile electricity market: forecasting and cost optimization
OA Olsson - 2023 - lup.lub.lu.se
Given the increase in electricity prices in recent years due to two reasons; the rebound effect
after the initial corona outbreak and the Russian invasion of Ukraine, the burden of paying …
after the initial corona outbreak and the Russian invasion of Ukraine, the burden of paying …